A multi-objective fuzzy linear programming model for optimization of natural gas supply chain through a greenhouse gas reduction approach

Azadeh, A.; Raoofi, Zeinab; Zarrin, Mansour

doi:10.1016/j.jngse.2015.05.039

Cited by 60 publications

(26 citation statements)

References 23 publications

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“…The surveyed actions in supplier relationship management were the number of different components supplied (Huang et al, 2016) and the number of suppliers (Blanco et al, 2016). The actions in the order fulfillment process (manufacturing) that were surveyed were the location of manufacturers (Nakamichi et al, 2016), the modules of the product line (Huang et al, 2016), manufacturer production rates (Bazan et al, 2015), the capacity of production processes (Azadeh, Raoofi, & Zarrin, 2015;Zhang et al, 2014), processing time (Zhang et al, 2014), and the number of facilities opened (Haddadsisakht & Ryan, 2018).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Logistics management actions were related to the locations of suppliers (Nakamichi et al, 2016), the length of the transportation routes (Azadeh et al, 2015;Elhedhli & Merrick, 2012;Nakamichi et al, 2016) or the distances between suppliers, manufacturers, and customers (Huang et al, 2016;Zhang et al, 2014), the mode of transportation and number of vehicles (Haddadsisakht & Ryan, 2018;Huang et al, 2016;Nakamichi et al, 2016), the number of shipments in a manufacturer's cycle (Bazan et al, 2015), and the capacity of distribution centers (Elhedhli & Merrick, 2012;Jaber et al, 2013). Actions in managing the customer relationship were the size of customer demand (Azadeh et al, 2015;Huang et al, 2016) or the size of customer orders (Zhang et al, 2014).…”

Section: Literature Reviewmentioning

confidence: 99%

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The effective practices of mobile phone producers' green supply chain management in reducing GHG emissions

Migdadi

2019

Environmental Quality Mgmt

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The aim of this study is to identify management practices that effectively reduce greenhouse gas (GHG) emissions with regard to the green supply chain adopted by mobile phone producers. Six cases were surveyed (Apple, Samsung, LG, Huawei, Nokia, and ZTE). The main source of data was sustainability reports, which were retrieved from the Global Reporting Initiative database. A special data analysis technique called rank analysis was adopted. The results revealed that the effective practices to reduce GHG 1 emissions were related to production process and business travel; those that were effective for reducing GHG 2 emissions were related to facilities accreditation and energy saving; and those effective in reducing GHG 3 emissions were related to logistics and customer practices. No effective actions related to the management of relationships with suppliers were identified by this study. Indicative models for the relationship between actions and GHG emissions were developed, as was a value‐stream map. The previous studies reporting the effective practices in other industries reported results for reducing GHG 1 or GHG 3, or overall GHG emissions, without discriminating among the actions taken to reduce such emissions, although some limited actions were reported. This study describes the effective practices along the whole supply chain—both upstream and downstream—and it also lists the actions related to addressing all the emissions, whether GHG 1, 2, or 3.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

The effective practices of mobile phone producers' green supply chain management in reducing GHG emissions

Migdadi

2019

Environmental Quality Mgmt

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“…The determination of the output value is needed in order for the control to be optimum, so that the range for motor speed value is -Speed and + Speed shown in Figure 6 (B). The figure shows that the input value of the speed is 1200 derived from the peter Corke's model [24]. …”

Section: Fuzzy Logic Controllermentioning

confidence: 99%

“…Fuzzy linear programming has been widely used by some researchers such as Azadeh et al [24] using it for setting in the greenhouse. Besides being used for the greenhouse, the method was used to control irrigation by Lu et al [25].…”

Section: Introductionmentioning

confidence: 99%

Hover Position of Quadrotor Based on PD-like Fuzzy Linear Programming

Iswanto

Wahyunggoro

Cahyadi

2016

IJECE

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The purpose of this paper is to present the altitude control algorithm for quadrotor to be able to fly at a particular altitude. Several previous researchers have conducted studies on quadrotor altitude by using PID control but there are problems in the overshoot and oscillation. To optimize the control, tunning on PID algorithm must be first conducted to determine proportional and derivative constants. Hence, the paper presents altitude control modification by using PID-like fuzzy without tuning. The PID algorithm is a control algorithm for linear systems. While, system to be controlled is a non-linear, so that linearization is needed by using equilibrium. The proposed algorithm is a modification of the PID algorithm used as an altitude control which enables quadrotor to be stable when hovering. The algorithm used is not PID algorithm with tuning using fuzzy, but this is a single input single output (SISO) control PID-like fuzzy linear programming. The result of the research shows that quadrotor can hover in a rapid raise time, steady state and settling time without performing overshoot and oscillation.

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“…Equipment failures usually occur due to improper design factors, abnormal running conditions, unreasonable maintenance strategy, rigorous environment et al Considering these detailed obstacles, FTA could offer visualized structures and images that may help the user to understand and reason physical effects of the system under the safety evaluation (Azadeh et al, 2015;Tang et al, 2015).…”

Section: The Construction Of Safety Evaluation Index Systemmentioning

confidence: 99%

An integrated framework of safety performance evaluation for oil and gas production plants: Application to a petroleum transportation station

Zhang

Kang

Zhang

et al. 2016

Journal of Loss Prevention in the Process Industries

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A multi-objective fuzzy linear programming model for optimization of natural gas supply chain through a greenhouse gas reduction approach

Cited by 60 publications

References 23 publications

The effective practices of mobile phone producers' green supply chain management in reducing GHG emissions

The effective practices of mobile phone producers' green supply chain management in reducing GHG emissions

Hover Position of Quadrotor Based on PD-like Fuzzy Linear Programming

An integrated framework of safety performance evaluation for oil and gas production plants: Application to a petroleum transportation station

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